Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1359
Title: Optimal energy allocation policies for a high altitude flying wireless access point
Authors: Ceran, Elif Tuğçe
Erkılıç, Tuğçe
Uysal-Bıyıkoğlu, Elif
Girici, Tolga
Leblebicioğlu, Kemal
143581
Keywords: Unmanned aerial vehicles (UAV)
Ad hoc networks
vehicles UAVs
Issue Date: Apr-2017
Publisher: Wiley
Source: Ceran, E. T., Erkilic, T., Uysal?Biyikoglu, E., Girici, T., & Leblebicioglu, K. (2017). Optimal energy allocation policies for a high altitude flying wireless access point. Transactions on Emerging Telecommunications Technologies, 28(4), e3034.
Abstract: Inspired by recent industrial efforts towards high altitude flying wireless access points powered by renewable energy, an online resource allocation problem for a mobile access point travelling at high altitude is formulated. The access point allocates its resources (available energy) to maximise the total utility (reward) provided to a sequentially observed set of users demanding service. The problem is formulated as a 0/1 dynamic knapsack problem with incremental capacity over a finite time horizon, and the solution of which is quite open in the literature. We address the problem through deterministic and stochastic formulations followed by a model where the statistics of the underlying processes are not known and learned through rule-based and neural network approaches. For the deterministic problem, several online approximations including optimisation via genetic algorithm and rule-based approach are proposed based on an instantaneous threshold that can adapt to short-time-scale dynamics. For the stochastic model, after showing the optimality of a threshold-based solution on a dynamic programming formulation, an approximate threshold-based policy is obtained. The performances of proposed policies are compared with that of the optimal solution obtained through dynamic programming. Copyright (C) 2016 John Wiley & Sons, Ltd.
URI: https://onlinelibrary.wiley.com/doi/full/10.1002/ett.3034
https://hdl.handle.net/20.500.11851/1359
ISSN: 2161-3915
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

8
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

8
checked on Sep 24, 2022

Page view(s)

26
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.